Asana AI Teammates: collaborative agents that deliver outcomes
Nov 12, 2025

Introduction
Asana AI Teammates are collaborative AI agents that work alongside your team inside Asana. They use project context, follow checkpoints and controls, and can be assigned tasks like a real team member. The feature is in beta, with access available to customers on the AI Studio Pro plan. General availability is signposted for early FY27.
What is an AI Teammate
An AI Teammate is a configurable agent that understands your work in Asana and takes actions to move it forward. You can choose from prebuilt teammates or design your own without code by defining a role, permissions, and responsibilities. Teammates build memory over time so they adapt to how your team works.
How AI Teammates work
You add an AI Teammate to a project, set its scope, and assign tasks to it like you would a colleague. It reads the project’s context, proposes or takes actions, and uses checkpoints so humans stay in control. A public demo highlights how teammates operate with context, controls, and governance.
Key capabilities
Create content, synthesise research, analyse data, and flag risks with project context in mind.
Assign tasks to the Teammate and review its work through transparent checkpoints.
Configure custom teammates without code to fit marketing, IT, operations, and product needs.
Why it matters
AI Teammates reduce busywork and accelerate outcomes because the agent lives where the work is planned and tracked. The combination of context, controls, and memory helps teams move from request to result faster while preserving accountability. Early coverage also notes Asana’s use of leading language models behind the scenes.
Who benefits
Marketing: Campaign strategy support, creative reviews, and status follow-ups.
IT and Ops: Service ticket triage, vendor evaluation, compliance, and launch coordination.
Product and Engineering: Requirement validation, backlog grooming, and risk tracking across dependencies.
Availability and plans
AI Teammates are in beta. Access is available to customers on AI Studio Pro, with a sign-up page for the beta. Pricing and plan names for AI Studio tiers are listed on Asana’s pricing pages and help centre, with AI Studio offered in Basic, Plus, and Pro variants. Always confirm eligibility with Asana or your account team.
Practical ways to start
Single pilot: Pick one project with clear inputs and outputs. Add a prebuilt Teammate or configure one for that project. Measure time saved and quality.
Customise safely: Define permissions, checkpoints, and responsibilities. Limit scope to one team first, then expand.
Show the value: Use Asana’s public demo as a training aid, then document your pattern as a short runbook.
How Generation Digital can help
Generation Digital helps organisations pilot and scale AI Teammates with a clear governance model. We run a short discovery to identify high-value use cases, configure or build custom teammates, align checkpoints and permissions, and define adoption metrics so you can expand with confidence.
Call to action: Ready to pilot AI Teammates in Asana with proper guardrails and measurable outcomes? Speak to Generation Digital for a structured rollout plan.
FAQs
Is AI Teammates generally available
Not yet. As of 12 November 2025, Asana states that AI Teammates are in beta, with general availability expected early FY27. Asana
Who can access the beta
Customers on the AI Studio Pro plan can join the beta or register interest. Asana
Can I build my own Teammate
Yes. You can create custom teammates without code and define roles, permissions, and responsibilities. Asana
How do Teammates keep work controlled
They operate with checkpoints and governance so humans approve or adjust actions before they land. Asana
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